{"id":"https://openalex.org/W2775596548","doi":"https://doi.org/10.1109/igarss.2017.8128431","title":"Retrieve vegetation effective optical depth using time-series AMSR-E brightness temperature data at C band \u2014 A case study","display_name":"Retrieve vegetation effective optical depth using time-series AMSR-E brightness temperature data at C band \u2014 A case study","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2775596548","doi":"https://doi.org/10.1109/igarss.2017.8128431","mag":"2775596548"},"language":"en","primary_location":{"id":"doi:10.1109/igarss.2017.8128431","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2017.8128431","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100656668","display_name":"Yunqing Li","orcid":"https://orcid.org/0000-0002-8645-3080"},"institutions":[{"id":"https://openalex.org/I49496784","display_name":"Beijing City University","ror":"https://ror.org/01jfjwr55","country_code":"CN","type":"education","lineage":["https://openalex.org/I49496784"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yunqing Li","raw_affiliation_strings":["Beijing City University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing City University, Beijing, China","institution_ids":["https://openalex.org/I49496784"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006636279","display_name":"Jiancheng Shi","orcid":"https://orcid.org/0000-0002-6163-2912"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiancheng Shi","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100375732","display_name":"Tao Zhang","orcid":"https://orcid.org/0000-0001-8335-2957"},"institutions":[{"id":"https://openalex.org/I4210141849","display_name":"National Administration of Surveying, Mapping and Geoinformation of China","ror":"https://ror.org/04z3map19","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210141849"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Zhang","raw_affiliation_strings":["Satellite Surveying and Mapping Application Center, National Administration of Surveying, Mapping and Geoinformation of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Satellite Surveying and Mapping Application Center, National Administration of Surveying, Mapping and Geoinformation of China, Beijing, China","institution_ids":["https://openalex.org/I4210141849"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033634734","display_name":"Tianjie Zhao","orcid":"https://orcid.org/0000-0002-0914-599X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210166112","display_name":"State Key Laboratory of Remote Sensing Science","ror":"https://ror.org/05wzjqa24","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210166112"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianjie Zhao","raw_affiliation_strings":["State Key Laboratory of Remote Sensing Science, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Remote Sensing Science, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210166112","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100656668"],"corresponding_institution_ids":["https://openalex.org/I49496784"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.1391337,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"iii","issue":null,"first_page":"6225","last_page":"6228"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11312","display_name":"Soil Moisture and Remote Sensing","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11312","display_name":"Soil Moisture and Remote Sensing","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10111","display_name":"Remote Sensing in Agriculture","score":0.9983000159263611,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/vegetation","display_name":"Vegetation (pathology)","score":0.802135705947876},{"id":"https://openalex.org/keywords/remote-sensing","display_name":"Remote sensing","score":0.7594777345657349},{"id":"https://openalex.org/keywords/normalized-difference-vegetation-index","display_name":"Normalized Difference Vegetation Index","score":0.7143492698669434},{"id":"https://openalex.org/keywords/brightness","display_name":"Brightness","score":0.695152759552002},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.611125648021698},{"id":"https://openalex.org/keywords/vegetation-index","display_name":"Vegetation Index","score":0.5934647917747498},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5462297201156616},{"id":"https://openalex.org/keywords/brightness-temperature","display_name":"Brightness temperature","score":0.5257856845855713},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5177561640739441},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4960413873195648},{"id":"https://openalex.org/keywords/meteorology","display_name":"Meteorology","score":0.32727283239364624},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.24738571047782898},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.21984577178955078},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.16458895802497864},{"id":"https://openalex.org/keywords/cartography","display_name":"Cartography","score":0.08636188507080078},{"id":"https://openalex.org/keywords/climate-change","display_name":"Climate change","score":0.08027631044387817},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.06754785776138306}],"concepts":[{"id":"https://openalex.org/C2776133958","wikidata":"https://www.wikidata.org/wiki/Q7918366","display_name":"Vegetation (pathology)","level":2,"score":0.802135705947876},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.7594777345657349},{"id":"https://openalex.org/C1549246","wikidata":"https://www.wikidata.org/wiki/Q718775","display_name":"Normalized Difference Vegetation Index","level":3,"score":0.7143492698669434},{"id":"https://openalex.org/C125245961","wikidata":"https://www.wikidata.org/wiki/Q221656","display_name":"Brightness","level":2,"score":0.695152759552002},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.611125648021698},{"id":"https://openalex.org/C2780376076","wikidata":"https://www.wikidata.org/wiki/Q1499458","display_name":"Vegetation Index","level":4,"score":0.5934647917747498},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5462297201156616},{"id":"https://openalex.org/C53802167","wikidata":"https://www.wikidata.org/wiki/Q4538627","display_name":"Brightness temperature","level":3,"score":0.5257856845855713},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5177561640739441},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4960413873195648},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.32727283239364624},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.24738571047782898},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.21984577178955078},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.16458895802497864},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","level":1,"score":0.08636188507080078},{"id":"https://openalex.org/C132651083","wikidata":"https://www.wikidata.org/wiki/Q7942","display_name":"Climate change","level":2,"score":0.08027631044387817},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.06754785776138306},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/igarss.2017.8128431","is_oa":false,"landing_page_url":"https://doi.org/10.1109/igarss.2017.8128431","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Life in Land","score":0.6600000262260437,"id":"https://metadata.un.org/sdg/15"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1532691246","https://openalex.org/W1597222998","https://openalex.org/W1969548928","https://openalex.org/W1978373233","https://openalex.org/W2008609034","https://openalex.org/W2034968407","https://openalex.org/W2040588632","https://openalex.org/W2066247114","https://openalex.org/W2072567364","https://openalex.org/W2078143000","https://openalex.org/W2116379108","https://openalex.org/W2130989950","https://openalex.org/W2166609657","https://openalex.org/W2171810506","https://openalex.org/W4251337073","https://openalex.org/W6631984659","https://openalex.org/W6833022340"],"related_works":["https://openalex.org/W4319317911","https://openalex.org/W3207384893","https://openalex.org/W4396668917","https://openalex.org/W3207046288","https://openalex.org/W4372264653","https://openalex.org/W4310842702","https://openalex.org/W4285330809","https://openalex.org/W4327662653","https://openalex.org/W2012686349","https://openalex.org/W2096239959"],"abstract_inverted_index":{"The":[0],"effective":[1],"vegetation":[2,11,55],"optical":[3],"depth":[4],"(EVOD),":[5],"plays":[6],"an":[7],"important":[8],"role":[9],"in":[10],"monitoring":[12],"and":[13,64],"land":[14],"key":[15],"parameters":[16],"retrieval.":[17],"In":[18],"this":[19],"study,":[20],"we":[21],"attempt":[22],"to":[23],"retrieve":[24],"the":[25,45,50,54,72],"EVOD":[26,47,63],"using":[27],"time-series":[28],"AMSR-E":[29],"data":[30],"at":[31,42],"SNOTEL[839]":[32],"site":[33,43],"for":[34],"a":[35],"case":[36],"study.":[37],"It":[38],"is":[39],"found":[40,61],"that":[41],"scale":[44],"retrieved":[46],"can":[48,69],"capture":[49],"overall":[51],"trend":[52],"of":[53,74],"growth.":[56],"However,":[57],"phase":[58],"differences":[59],"are":[60],"between":[62],"NDVI.":[65],"Different":[66],"overpass":[67],"times":[68],"also":[70],"affect":[71],"exhibition":[73],"EVOD.":[75]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
